L Li, Y Fang, L Liu, H Peng, J Kurths, Y Yang - Applied Sciences, 2020 - mdpi.com
With the development of intelligent networks such as the Internet of Things, network scales are becoming increasingly larger, and network environments increasingly complex, which …
G Manogaran, R Varatharajan, MK Priyan - Multimedia tools and …, 2018 - Springer
Abstract Multiple Kernel Learning with Adaptive Neuro-Fuzzy Inference System (MKL with ANFIS) based deep learning method is proposed in this paper for heart disease diagnosis …
R Varatharajan, G Manogaran, MK Priyan - Multimedia Tools and …, 2018 - Springer
Electrocardiographic (ECG) signals often consist of unwanted noises and speckles. In order to remove the noises, various image processing filters are used in various studies. In this …
M Abdel-Basset, M Mohamed, AK Sangaiah - Journal of Ambient …, 2018 - Springer
The main objective of this research is to study the integration of Analytic Hierarchy Process (AHP) into Delphi framework in neutrosophic environment and present a new technique for …
R Varatharajan, G Manogaran, MK Priyan… - Multimedia tools and …, 2018 - Springer
Geospatial data analytical model is developed in this paper to model the spatial suitability of malaria outbreak in Vellore, Tamil Nadu, India. In general, Disease control strategies are …
T Wei, S Liu, X Du - IEEE Transactions on Mobile Computing, 2022 - ieeexplore.ieee.org
Recently, visible light positioning and visible light communication are becoming a promising technology for integrated sensing and communication. However, the isolated design of …
J Wen, J Wang, Q Zhang - IEEE Transactions on Signal …, 2017 - ieeexplore.ieee.org
In this paper, we study the orthogonal least squares (OLS) algorithm for sparse recovery. On one hand, we show that if the sampling matrix A satisfies the restricted isometry property of …
W Zhao, L Gao, A Zhai, D Wang - Sensors, 2023 - mdpi.com
Single-pixel imaging (SPI) uses a single-pixel detector instead of a detector array with a lot of pixels in traditional imaging techniques to realize two-dimensional or even multi …
Recovering sparse signals from linear measurements has demonstrated outstanding utility in a vast variety of real-world applications. Compressive sensing is the topic that studies the …